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- Centre for Advanced Spatial Analysis
- Faculty of the Built Environment
Ed’s background lies in the application of computational techniques to interdisciplinary domains, with a particular focus on urban systems.
Ed completed his Engineering Doctorate at UCL entitled ‘Modelling Spatial Cognition to Predict Urban Road Traffic Dynamics’, where he developed a large-scale agent-based model for the simulation of urban road traffic patterns. Using a large dataset of observed route selections, Ed identified new patterns in route selection behaviour within the London region, building on conventional findings in spatial cognition research.
Prior to becoming a Lecturer at CASA, Ed worked as a Research Associate on the MECHANICITY project, investigating the movement of individuals on the London Underground, again applying large datasets and agent-based simulation.
Ed’s research blog can be found at urbanmovements.co.uk.
Ed’s research interests broadly fall around understanding the role of individual and collective behaviour in shaping urban processes.
This has previously involved the application of quantitative approaches, including large data analyses, machine learning, and network modelling, along side theoretical understandings drawn from disciplines such as spatial cognition, judgment and decision-making, and sociology.
Ed is particularly interested in advancing data-driven agent-based simulation in order to improve the understanding and prediction of complex social systems. He is interested in the role of data visualisation in the presentation and communication of multifaceted datasets.